The paper has two components involving data analysis: the Monte Carlo simulation, and the empirical analysis of the Bobolink data (which was published in Swallow et al., 2018).

The Monte Carlo simulation component involves several parts corresponding to different do files (no dta files involved): 
the main analysis (Table 1 and Table 2) is in MonteCarlo_simu.do; 
simulation with errors in observed probabilities (last three rows in Table 2) is in MonteCarlo_simu_errors_in_prob.do; 
appendix C corresponds to MonteCarlo_simu_joint_AppendixC; 
appendix D corresponds to MonteCarlo_simu_Logit_AppendixD.do. 
To replicate, just specify the right directories and run the do files. Some iterations may take long to finish.


The empirical analysis component involves two parts. 
The main analysis (the SBC solicitation) corresponds to MainEmpirical.do. 
Appendix B (the OE solicitation) corresponds to Appendix B.do. 
Only one data file is involved: reanalysis_hurdle_final0.dta, and both do files in this component use it. 
To replicate, put reanalysis_hurdle_final0.dta under the "dta" directory specified in the beginning of each do file.  


Reference
Swallow, Stephen K., Christopher M. Anderson, and Emi Uchida. 2018. The Bobolink Project: Selling Public Goods from Ecosystem Services Using Provision Point Mechanisms. Ecological Economics, 143, 236-252. 